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首页> 外文期刊>Journal of applied statistics >Analyzing non-stationarity in cement stone pit by median polish interpolation: a case study
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Analyzing non-stationarity in cement stone pit by median polish interpolation: a case study

机译：用中值抛光插值法分析水泥石坑的非平稳性：一个案例研究

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The raw materials utilized in the manufacture of cement comprise mainly of lime, silica, alumina and iron oxide. Spatial evaluation of these main chemical constituents of cement has crucial importance for providing effective production. Because these components are composed of some raw materials such as limestone and marl, the spatial relationships in a calcareous marl stone pit was taken into consideration. In practice, spatial field data taken from a cement quarry may include some variations and trends. For modeling and removing spatial trend in a cement raw material quarry as well as providing unbiased estimates, median polish kriging was used. By using the variation of the data itself, some approximations and interpolations were carried out. It was recorded that the method obtained outlier-resistant estimation of spatial trend without needing an external exploratory variable. In addition, it provided very effective estimations and additional information for analyzing spatial non-stationary data.
机译：用于水泥生产的原材料主要包括石灰，二氧化硅，氧化铝和氧化铁。水泥的这些主要化学成分的空间评估对于提供有效的生产至关重要。由于这些成分是由石灰石和泥灰岩等某些原材料组成的，因此考虑了钙质石灰石泥岩矿坑中的空间关系。实际上，从水泥采石场获得的空间场数据可能包括一些变化和趋势。为了建模和消除水泥原料采石场中的空间趋势以及提供无偏估计，使用了中值抛光克里金法。利用数据本身的变化，进行了一些近似和内插。据记录，该方法无需外部探索变量即可获得空间趋势的离群值估计。此外，它为分析空间非平稳数据提供了非常有效的估计和其他信息。

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